Low-Complexity Neural Wind Noise Reduction for Audio Recordings
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916822575480832 |
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| author | Eftekhari, Hesam Chetupalli, Srikanth Raj Shetu, Shrishti Saha Habets, Emanuël A. P. Thiergart, Oliver |
| author_facet | Eftekhari, Hesam Chetupalli, Srikanth Raj Shetu, Shrishti Saha Habets, Emanuël A. P. Thiergart, Oliver |
| contents | Wind noise significantly degrades the quality of outdoor audio recordings, yet remains difficult to suppress in real-time on resource-constrained devices. In this work, we propose a low-complexity single-channel deep neural network that leverages the spectral characteristics of wind noise. Experimental results show that our method achieves performance comparable to the state-of-the-art low-complexity ULCNet model. The proposed model, with only 249K parameters and roughly 73 MHz of computational power, is suitable for embedded and mobile audio applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_01821 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Low-Complexity Neural Wind Noise Reduction for Audio Recordings Eftekhari, Hesam Chetupalli, Srikanth Raj Shetu, Shrishti Saha Habets, Emanuël A. P. Thiergart, Oliver Audio and Speech Processing Sound Signal Processing Wind noise significantly degrades the quality of outdoor audio recordings, yet remains difficult to suppress in real-time on resource-constrained devices. In this work, we propose a low-complexity single-channel deep neural network that leverages the spectral characteristics of wind noise. Experimental results show that our method achieves performance comparable to the state-of-the-art low-complexity ULCNet model. The proposed model, with only 249K parameters and roughly 73 MHz of computational power, is suitable for embedded and mobile audio applications. |
| title | Low-Complexity Neural Wind Noise Reduction for Audio Recordings |
| topic | Audio and Speech Processing Sound Signal Processing |
| url | https://arxiv.org/abs/2507.01821 |